Hello 👋

Date Time Location Topic
Thursday, 18-09-2025 9.00-12.00 Kathleen Kenyon Building, Room 1.21 Welcome
Intro to R/RStudio
R Basics
Project Organisation
Cleaning data
Thursday, 18-09-2025 13.00-16.00 Kathleen Kenyon Building, Room 1.21 Understanding Dental Data

R

Pronounced /’Arrrgh/

GIPHY

Why R?

Because it’s the best!

End of presentation.

Artwork by @allison_horst.

Why R?

R is a free and open source software environment for statistical computing and graphics

There are 20000+ available packages on CRAN

The R community is pretty cool

Header text "R learners" above five friendly monsters holding up signs that together read "we believe in you."

Artwork by @allison_horst.

Why RStudio?

RStudio is an integrated development environment (IDE) specifically for R

It provides a bunch of extra features to make using R a delight!

tidyverse

The tidyverse is a collection of R packages sharing the same data science philosophy

It provides a nice workflow for cleaning, visualising, and transforming data

Aspects of ‘base R’ will also be covered

About the materials

It is not enough to cover all important topics.

It is enough to teach you how to find answers and implement them yourself.

The datasets: Sheep Astragali

Sheep astragulus morphology from Iron Age Eastern Mediterranean.

nmar79. (2023). nmar79/Med_Sheep_Astragals: v0.1 (v0.1). Zenodo. https://doi.org/10.5281/zenodo.10276147

The datasets: Kiwulan Burials

Burial data from northeastern Taiwan ranging from the Iron Age through the European colonization period.

Li-Ying Wang & Ben Marwick, (2021). Compendium of R code and data for “A Bayesian networks approach to infer social changes from burials in northeastern Taiwan during the European colonization period”. Accessed 23 Aug 2021. Online at https://osf.io/xga6n/

The datasets: Chelsea Old Church